Ground inclination analysis method and system for tower position based on inverse distance weight

Abstract

The present invention discloses a method and system for analyzing ground inclination of a pole tower position based on inverse distance weight. The method comprises: obtaining terrain data in a three-dimensional scene, extracting slope data from the terrain data; obtaining an original slope value sampling matrix according to the slope data; calculating the distance from each sampling point of each pole tower in the transmission line to the corresponding pole tower point to obtain an inverse second-order distance matrix; performing inverse distance weight calculation according to the inverse second-order distance matrix to obtain an inverse distance weight matrix; transposing the inverse distance weight matrix to obtain a transposed matrix; multiplying the original slope value sampling matrix with the transposed matrix to obtain a result matrix; obtaining the main diagonal elements of the result matrix to obtain the slope value of each pole tower; and calculating the ground inclination of each pole tower according to the slope value of each pole tower. The present invention fully considers the terrain near the pole tower, and is a comprehensive value of ground inclination with high accuracy.

Description

Technical Field

[0001] The invention relates to the technical field of lightning protection for electric power systems, and in particular to a method and system for analyzing ground inclination at a tower position based on inverse distance weighting. Background Art

[0002] Transmission lines are the basic components of the power grid, and their safety, reliability, and stability play a vital role in ensuring the stable operation of the power system. Since transmission lines are in the natural environment for a long time and most of them pass through wilderness, hills, or mountains, lightning strikes frequently occur during the thunderstorm season, and the safety, reliability, and stability of transmission lines face severe tests. Lightning strikes on transmission lines account for a high proportion of the causes of failures in the entire power system, and the failures they cause are often the most serious, seriously threatening the safety, reliability, and stability of the power grid.

[0003] At present, the lightning protection performance evaluation method of power transmission lines needs to comprehensively consider factors such as lightning activity in the line corridor, line topographic features, line structure, insulation configuration, and lightning protection measures. Among them, the topographic features of the line are quantified by the ground inclination. However, in traditional algorithms, the quantitative analysis of the ground inclination is often just a simple conversion of the terrain slope value, such as taking the maximum and minimum values ​​of the slope value or the average of multiple sampling points, without comprehensively considering the complex terrain conditions in the area where the tower is located, that is, the ground is always undulating, resulting in a low positive contribution rate of terrain parameters to the calculation results of lightning protection performance. Summary of the invention

[0004] The technical problem to be solved by the present invention is that the quantitative analysis of the ground inclination angle at the location of the tower in the existing technology for lightning protection of power transmission lines often only makes a simple conversion of the terrain slope value, such as taking the maximum and minimum values ​​of the slope value or the average of multiple sampling points, but does not comprehensively consider the complex terrain conditions of the area where the tower is located, that is, the ground is always undulating, and the ground inclination angle cannot be comprehensively reflected, the accuracy is not high, and the positive contribution rate to the calculation result of the lightning protection performance is not high.

[0005] The purpose of the present invention is to provide a method and system for analyzing the ground inclination angle at the tower position based on inverse distance weight, taking into account the influence of the terrain near the tower on the value of the ground inclination angle, avoiding the effect of cutting high and filling low on the slope of the terrain by taking the maximum, minimum or average value, etc., and taking into account the terrain near the tower more fully. It is a comprehensive value of the ground inclination angle with high accuracy. The present invention provides more accurate services for the calculation and early warning of the subsequent lightning risk coefficient.

[0006] The present invention is achieved through the following technical solutions:

[0007] In a first aspect, the present invention provides a method for analyzing ground inclination of a tower position based on an inverse distance weight, the method comprising:

[0008] Obtain terrain data in a three-dimensional scene, extract slope data from the terrain data; obtain the original slope value sampling matrix R according to the slope data (n,m) ;

[0009] Calculate the distance from each sampling point of each tower in the transmission line to the corresponding tower point and obtain the inverse second-order distance matrix D (n,m) ; According to the inverse second-order distance matrix D (n,m) , perform inverse distance weight calculation and obtain the inverse distance weight matrix W (n,m) ; The inverse distance weight matrix W (n,m) Perform transposition processing to obtain the transposed matrix IDW (m,n) ;

[0010] The original slope value sampling matrix R (n,m) With the transposed matrix IDW (m,n) Multiply them together to get the result matrix S (n,n) ; Get the result matrix S (n,n) The main diagonal elements of are used to obtain the slope value of each tower;

[0011] According to the slope value of each tower, the ground inclination angle of each tower is calculated.

[0012] Furthermore, the method further comprises:

[0013] The power grid transmission lines are parametrically modeled and the terrain data is superimposed for panoramic simulation to obtain a three-dimensional scene.

[0014] Furthermore, according to the slope data, an original slope value sampling matrix is ​​obtained, including:

[0015] According to the slope data, the vertical direction of the transmission line of each base tower is equally spaced Δd meters to accumulate samples on the left and right sides to obtain the original slope value sampling matrix R of each sampling point. (n,m) ;

[0016] The original slope value sampling matrix R (n,m) It is an n*m matrix, n=N, m=M, where N is the number of towers of a transmission line, and M is the number of sampling points on the left and right sides of the vertical direction of the transmission line along each tower.

[0017] Furthermore, the inverse distance weight matrix W (n,m) Each inverse distance weight value w ij The calculation formula is:

[0018]

[0019] Among them, d ij ∈D (n,m), D (n,m) is the inverse second-order distance matrix; w ij ∈W (n,m) , where i∈[1,n], j∈[1,m], w ij is the inverse distance weight value from the jth sampling point of the i-th tower to the tower, and satisfies w ij ∈(0,1).

[0020] Furthermore, the distance between each sampling point of each tower in the transmission line and the corresponding tower point is calculated using the distance calculation formula:

[0021] dist ij =Δd×index j

[0022] Among them, dist ij ∈Dist (n，m) , i∈[1,n], j∈[1,m], where dist ij is the distance from the jth sampling point of the i-th tower to the tower point, Δd is the sampling interval, which should satisfy Δd>0, index j Is the sampling point number, satisfying the condition index j ∈[1,m].

[0023] Furthermore, the ground inclination angle calculation formula of each tower is:

[0024] V theta(i) =λV slope(i) , i∈[1,n]

[0025] Among them, V t h eta(i) is the ground inclination angle of the ith tower, V slope(i) is the terrain slope value calculated based on the inverse distance weight of the ith tower, V slope(i) The value of is the result matrix S (i , i) The main diagonal elements in , λ is the coefficient.

[0026] Further, the calculating the ground inclination angle of each pole tower according to the slope value of each pole tower includes:

[0027] According to the left slope value of each tower, the left ground inclination value of each tower is calculated;

[0028] According to the right slope value of each pole tower, the right ground inclination value of each pole tower is calculated.

[0029] Among them, the left and right slope values ​​use the same calculation method, and the left and right ground inclination values ​​use the same calculation method.

[0030] In a second aspect, the present invention further provides a tower position ground inclination analysis system based on inverse distance weighting, the system comprising:

[0031] An acquisition unit, used for acquiring terrain data in a three-dimensional scene;

[0032] A slope data extraction unit, used to extract slope data from the terrain data;

[0033] The original sampling matrix unit is used to obtain the original slope value sampling matrix R according to the slope data. (n,m) ;

[0034] Based on the inverse distance weight calculation unit, it is used to calculate the distance from each sampling point of each tower in the transmission line to the corresponding tower point, and obtain the inverse second-order distance matrix D (n,m) ; According to the inverse second-order distance matrix D (n,m) , perform inverse distance weight calculation and obtain the inverse distance weight matrix W (n,m) ;

[0035] A transposition processing unit is used to transform the inverse distance weight matrix W (n,m) Perform transposition processing to obtain the transposed matrix IDW (m,n) ;

[0036] The tower slope calculation unit is used to convert the original slope value sampling matrix R (n,m) With the transposed matrix IDW (m,n) Multiply them together to get the result matrix S (n,n) ; Get the result matrix S (n,n) The main diagonal elements of are used to obtain the slope value of each tower;

[0037] The ground inclination angle calculation unit is used to calculate the ground inclination angle of each pole tower according to the slope value of each pole tower.

[0038] In a third aspect, the present invention further provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method for analyzing ground inclination of a tower location based on inverse distance weight when executing the computer program.

[0039] In a fourth aspect, the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for analyzing ground inclination of a tower location based on inverse distance weight is implemented as described above.

[0040] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0041] 1. The present invention provides a method and system for analyzing ground inclination at a pole tower position based on inverse distance weight. The present invention takes into account the influence of the terrain near the pole tower on the value of the ground inclination, adopts a slope value based on inverse distance weight, avoids the effect of cutting high and filling low on the slope of the terrain by taking the maximum, minimum or average value, and more fully considers the terrain near the pole tower. It is a comprehensive value of the ground inclination with high accuracy.

[0042] 2. The present invention provides a method and system for analyzing the ground inclination of a pole tower based on an inverse distance weight. The method of the present invention is suitable for calculating and analyzing the ground inclination of a pole tower in lightning protection of a transmission line, thereby improving the calculation accuracy of the lightning risk factor and providing more accurate services for subsequent calculation and early warning of the lightning risk factor. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of this application, and do not constitute a limitation of the embodiments of the present invention. In the drawings:

[0044] Figure 1 The present invention is a flow chart of the method for analyzing ground inclination of tower positions based on inverse distance weight.

[0045] Figure 2 The present invention is a detailed flow chart of the method for analyzing the ground inclination of a tower position based on inverse distance weight.

[0046] Figure 3 The present invention is a structural block diagram of the tower position ground inclination analysis system based on inverse distance weighting. DETAILED DESCRIPTION

[0047] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with embodiments and drawings. The exemplary embodiments of the present invention and their description are only used to explain the present invention and are not intended to limit the present invention.

[0048] Based on the existing technology, the quantitative analysis of the ground inclination angle at the location of the tower in the lightning protection of power transmission lines is often just a simple conversion of the terrain slope value, such as taking the maximum and minimum slope values ​​or the average of multiple sampling points, but does not comprehensively consider the complex terrain conditions of the area where the tower is located, that is, the ground is always undulating, and the ground inclination angle cannot be comprehensively reflected. The accuracy is not high, and the positive contribution rate to the calculation results of the lightning protection performance is not high.

[0049] Therefore, the evaluation of the lightning protection performance of transmission lines requires comprehensive consideration of factors such as lightning activity in the line corridor, the topographical features of the line, the line structure, insulation configuration, and lightning protection measures. Among them, the topographical features of the line are often quantified by the ground inclination angle. The present invention designs a ground inclination analysis method and system for the tower position based on the inverse distance weight. The present invention considers the influence of the terrain near the tower on the value of the ground inclination angle, and adopts the slope value based on the inverse distance weight, avoiding the effect of cutting high and filling low on the slope of the terrain by taking the maximum, minimum or average value, and more fully considers the terrain near the tower. It is a comprehensive value of the ground inclination angle with high accuracy. The method of the present invention is suitable for the calculation and analysis of the ground inclination angle at the location of the tower in the lightning protection of the transmission line, improves the calculation accuracy of the lightning risk coefficient, and provides more accurate services for the subsequent calculation and early warning of the lightning risk coefficient.

[0050] Example 1

[0051] like Figure 1 and Figure 2 As shown, the tower position ground inclination analysis method based on inverse distance weighting of the present invention comprises:

[0052] Step 1: parametrically model the power transmission line of the power grid, and superimpose terrain data for panoramic simulation to obtain a three-dimensional scene. The three-dimensional scene can realistically display power elements such as the towers of the power transmission line, as well as spatial information such as three-dimensional terrain, and has the function of panoramically displaying the geographical space where the power transmission line is located.

[0053] Specifically, using 3D parametric modeling technology, we can quickly construct 3D power grid transmission lines, while superimposing 3D digital elevation data to panoramically display the shape of the line itself in the 3D virtual space, as well as the terrain undulations of the transmission line corridor and its surroundings.

[0054] Step 2: Obtain terrain data in the three-dimensional scene, extract slope data from the terrain data; obtain the original slope value sampling matrix R according to the slope data (n,m) ;

[0055] Specifically, according to the slope data, the original slope value sampling matrix R is obtained. (n,m) ,include:

[0056] Assuming that a transmission line has N towers, when calculating the ground inclination, according to the slope data, the vertical direction of the transmission line of each tower is equally spaced Δd meters to accumulate samples on the left and right sides to obtain the original slope value sampling matrix R of each sampling point. (n,m) ;

[0057] The original slope value sampling matrix R (n,m)It is an n*m matrix, n=N, m=M, where N is the number of towers of a transmission line, and M is the number of sampling points on the left and right sides of the vertical direction of the transmission line along each tower.

[0058] Step 3: Calculate the distance from each sampling point of each tower in the transmission line to the corresponding tower point to obtain the inverse second-order distance matrix D (n,m) ; According to the inverse second-order distance matrix D (n,m) , perform inverse distance weight calculation and obtain the inverse distance weight matrix W (n,m) ; The inverse distance weight matrix W (n,m) Perform transposition processing to obtain the transposed matrix IDW (m,n) ;

[0059] Specifically, firstly, the distance from each sampling point of each tower in the transmission line to the corresponding tower point is calculated. The distance calculation formula is:

[0060] dist ij =Δd×index j (1)

[0061] Among them, dist ij ∈Dist (n，m) , i∈[1,n], j∈[1,m], where dist ij is the distance from the jth sampling point of the i-th tower to the tower point, Δd is the sampling interval, which should satisfy Δd>0, index j Is the sampling point number, satisfying the condition index j ∈[1,m].

[0062] Secondly, according to formula (1), the distance matrix Dist is obtained (n,m) Then, the inverse second-order distance matrix D can be calculated by formula (2) and formula (3): (n,m) and the inverse distance weight matrix W (n,m) :

[0063]

[0064] Formula (2) is a weight definition function, where p is the weight order, which defaults to 2, and h is the distance from the sampling point to the center point. In the method of the present invention, it can be rewritten as the following formula:

[0065]

[0066] Among them, w ij is the inverse distance weight value, d ij ∈D (n,m) , D (n,m) is the inverse second-order distance matrix; w ij ∈W(n,m) , where i∈[1,n], j∈[1,m], w ij is the inverse distance weight value from the jth sampling point of the i-th tower to the tower, and satisfies w ij ∈(0,1).

[0067] And by the inverse distance weight value w ij Get the inverse distance weight matrix.

[0068] Furthermore, the inverse distance weight matrix W (n,m) Perform transposition processing to obtain the transposed matrix IDW (m,n) , the formula is:

[0069]

[0070] Step 4: Sampling the original slope value matrix R (n,m) With the transposed matrix IDW (m,n) Multiply them together to get the result matrix S (n,n) ; Get the result matrix S (n,n) The main diagonal elements of are used to obtain the slope value of each tower;

[0071] Specifically, the result matrix S is calculated by formula (5): (n,n) :

[0072] S ij =R (n,m) IDW (m,n) (5)

[0073] Where S ij The result matrix S (n,n) The elements in S ij ∈S (n,n) , S (n,n) is a matrix with n rows and columns;

[0074] Step 5, calculating the ground inclination angle of each pole tower according to the slope value of each pole tower.

[0075] Specifically, the ground inclination value of each base tower is calculated by the following formula (6):

[0076] V theta(i) =V slope(i) =S (i,i) ,i∈[1,n] (6)

[0077] Among them, in this embodiment, V t h eta(i) =V slope(i) , that is, λ=1; V t h eta(i) is the ground inclination angle of the ith tower, V slope(i)is the terrain slope value calculated based on the inverse distance weight of the ith tower, V slope(i) The value of is the result matrix S (i , i) The main diagonal elements in .

[0078] The calculation process from step 3 to step 5 above is used to calculate the terrain slope values ​​corresponding to the 1st, 2nd, ..., nth base tower points based on the inverse distance weighted method to obtain the left ground inclination angle of the tower on one side of the vertical line of the transmission line direction.

[0079] Similarly, select the other side of the vertical line of the tower to the transmission line, repeat the process described in steps 3 to 5, and the right ground inclination value based on the inverse distance weight on the other side of each tower can be calculated.

[0080] The specific implementation is as follows:

[0081] (1) Data preprocessing: obtaining terrain data DEM, generating slope data, and obtaining sampling point data.

[0082] (2) As shown in Table 1, the terrain slope values ​​are obtained by sampling at equal intervals on the right side of the tower. To avoid zero value calculation, the tower point is removed from the sampling. The data is the original slope value matrix R (n,m) :

[0083]

[0084]

[0085] Table 1 Original data of terrain sampling (right side)

[0086] (3) As above, in order to avoid zero value calculation, the inverse second-order matrix D of the distance is calculated based on the coordinate information of the sampling points after removing the tower point (n,m) , as shown in Table 2:

[0087]

[0088]

[0089] Table 2: Inverse 2nd-order matrix D of distance (n,m)

[0090] (4) According to the matrix D (n,m) We can continue to calculate the inverse distance weight matrix W (n,m) , as shown in Table 3:

[0091]

[0092]

[0093] Table 3 Inverse distance weight matrix W(n，m)

[0094] (5) The matrix W (n，m) Transpose to get the transposed weight matrix IDW (m，n) , as shown in Table 4(a) and Table 4(b), Table 4(a) is the left half of the table, and Table 4(b) is the right half of the table:

[0095] 0.63899 0.63899 0.63899 0.63899 0.63899 0.63899 0.63899 0.63899 0.63899 0.63899 0.63899 0.63899 0.63899 0.15975 0.15975 0.15975 0.15975 0.15975 0.15975 0.15975 0.15975 0.15975 0.15975 0.15975 0.15975 0.15975 0.07100 0.07100 0.07100 0.07100 0.07100 0.07100 0.07100 0.07100 0.07100 0.07100 0.07100 0.07100 0.07100 0.03994 0.03994 0.03994 0.03994 0.03994 0.03994 0.03994 0.03994 0.03994 0.03994 0.03994 0.03994 0.03994 0.02556 0.02556 0.02556 0.02556 0.02556 0.02556 0.02556 0.02556 0.02556 0.02556 0.02556 0.02556 0.02556 0.01775 0.01775 0.01775 0.01775 0.01775 0.01775 0.01775 0.01775 0.01775 0.01775 0.01775 0.01775 0.01775 0.01304 0.01304 0.01304 0.01304 0.01304 0.01304 0.01304 0.01304 0.01304 0.01304 0.01304 0.01304 0.01304 0.00998 0.00998 0.00998 0.00998 0.00998 0.00998 0.00998 0.00998 0.00998 0.00998 0.00998 0.00998 0.00998 0.00789 0.00789 0.00789 0.00789 0.00789 0.00789 0.00789 0.00789 0.00789 0.00789 0.00789 0.00789 0.00789 0.00639 0.00639 0.00639 0.00639 0.00639 0.00639 0.00639 0.00639 0.00639 0.00639 0.00639 0.00639 0.00639 0.00528 0.00528 0.00528 0.00528 0.00528 0.00528 0.00528 0.00528 0.00528 0.00528 0.00528 0.00528 0.00528 0.00444 0.00444 0.00444 0.00444 0.00444 0.00444 0.00444 0.00444 0.00444 0.00444 0.00444 0.00444 0.00444

[0096] Table 4(a): Transposed weight matrix IDW (m，n)

[0097] 0.63899 0.63899 0.63899 0.63899 0.63899 0.63899 0.63899 0.15975 0.15975 0.15975 0.15975 0.15975 0.15975 0.15975 0.07100 0.07100 0.07100 0.07100 0.07100 0.07100 0.07100 0.03994 0.03994 0.03994 0.03994 0.03994 0.03994 0.03994 0.02556 0.02556 0.02556 0.02556 0.02556 0.02556 0.02556 0.01775 0.01775 0.01775 0.01775 0.01775 0.01775 0.01775 0.01304 0.01304 0.01304 0.01304 0.01304 0.01304 0.01304 0.00998 0.00998 0.00998 0.00998 0.00998 0.00998 0.00998 0.00789 0.00789 0.00789 0.00789 0.00789 0.00789 0.00789 0.00639 0.00639 0.00639 0.00639 0.00639 0.00639 0.00639 0.00528 0.00528 0.00528 0.00528 0.00528 0.00528 0.00528 0.00444 0.00444 0.00444 0.00444 0.00444 0.00444 0.00444

[0098] Table 4(b): Transposed weight matrix IDW (m，n)

[0099] (6) The original slope value sampling matrix R (n，m) With the weight matrix IDW (m，n) Multiply and calculate the inverse distance weighted slope value matrix S (n，n) , as shown in Table 5(a) and Table 5(b), Table 5(a) is the left half of the table, and Table 5(b) is the right half of the table:

[0100]

[0101] Table 5(a): Slope value matrix S (n,n)

[0102] 35.352 35.3523 35.352 35.352 35.352 35.352 35.352 35.352 35.352 35.352 45.951 45.9514 45.951 45.951 45.951 45.951 45.951 45.951 45.951 45.951 43.456 43.4562 43.456 43.456 43.456 43.456 43.456 43.456 43.456 43.456 29.847 29.8467 29.847 29.847 29.847 29.847 29.847 29.847 29.847 29.847 43.319 43.3185 43.319 43.319 43.319 43.319 43.319 43.319 43.319 43.319 20.868 20.8683 20.868 20.868 20.868 20.868 20.868 20.868 20.868 20.868 36.858 36.858 36.858 36.858 36.858 36.858 36.858 36.858 36.858 36.858 33.44 33.44 33.44 33.44 33.44 33.44 33.44 33.44 33.44 33.44 32.435 32.435 32.435 32.435 32.435 32.435 32.435 32.435 32.435 32.435 31.192 31.1918 31.192 31.192 31.192 31.192 31.192 31.192 31.192 31.192 33.158 33.158 33.158 33.158 33.158 33.158 33.158 33.158 33.158 33.158 51.604 51.6042 51.604 51.604 51.604 51.604 51.604 51.604 51.604 51.604 28.105 28.1051 28.105 28.105 28.105 28.105 28.105 28.105 28.105 28.105 12.872 12.872 12.872 12.872 12.872 12.872 12.872 12.872 12.872 12.872 35.628 35.6284 35.628 35.628 35.628 35.628 35.628 35.628 35.628 35.628 47.998 47.9976 47.998 47.998 47.998 47.998 47.998 47.998 47.998 47.998 30.436 30.4361 30.436 30.436 30.436 30.436 30.436 30.436 30.436 30.436 51.789 51.7889 51.789 51.789 51.789 51.789 51.789 51.789 51.789 51.789 20.359 20.3594 20.359 20.359 20.359 20.359 20.359 20.359 20.359 20.359 27.915 27.9155 27.915 27.915 27.915 27.915 27.915 27.915 27.915 27.915

[0103] Table 5(b): Slope value matrix S (n，n)

[0104] (7) Take S (n，n) The main diagonal elements in the matrix calculate the terrain slope value of each base tower and convert it into the ground inclination value, which is the right ground inclination value. The calculation results are shown in Table 6:

[0105]

[0106]

[0107] Table 6: Ground inclination values ​​based on inverse distance weighting

[0108] Similarly, according to (2) to (7) above, the terrain slope value is obtained by sampling at equal intervals on the left side of the tower, and the left ground inclination value is calculated.

[0109] The present invention considers the influence of the terrain near the pole tower on the value of the ground inclination angle, adopts the slope value based on the inverse distance weight, avoids the effect of cutting high and filling low on the slope of the terrain by taking the maximum, minimum or average value, etc., and fully considers the terrain near the pole tower. It is a comprehensive value of the ground inclination angle with high accuracy. The method of the present invention is suitable for the calculation and analysis of the ground inclination angle at the location of the pole tower in the lightning protection of the transmission line, improves the calculation accuracy of the lightning risk coefficient, and provides more accurate services for the subsequent calculation and early warning of the lightning risk coefficient.

[0110] Example 2

[0111] like Figure 3 As shown, the difference between this embodiment and embodiment 1 is that this embodiment provides a tower position ground inclination analysis system based on inverse distance weighting, and the system is used to implement the tower position ground inclination analysis method based on inverse distance weighting described in embodiment 1; the system includes:

[0112] An acquisition unit, used for acquiring terrain data in a three-dimensional scene;

[0113] A slope data extraction unit, used to extract slope data from the terrain data;

[0114] The original sampling matrix unit is used to obtain the original slope value sampling matrix R according to the slope data. (n,m) ;

[0115] Based on the inverse distance weight calculation unit, it is used to calculate the distance from each sampling point of each tower in the transmission line to the corresponding tower point, and obtain the inverse second-order distance matrix D (n,m) ; According to the inverse second-order distance matrix D (n,m) , perform inverse distance weight calculation and obtain the inverse distance weight matrix W (n,m) ;

[0116] A transposition processing unit is used to transform the inverse distance weight matrix W (n,m) Perform transposition processing to obtain the transposed matrix IDW (m,n) ;

[0117] The tower slope calculation unit is used to convert the original slope value sampling matrix R (n,m) With the transposed matrix IDW (m,n) Multiply them together to get the result matrix S (n,n) ; Get the result matrix S (n,n) The main diagonal elements of are used to obtain the slope value of each tower;

[0118] The ground inclination angle calculation unit is used to calculate the ground inclination angle of each pole tower according to the slope value of each pole tower.

[0119] The execution process of each unit can be performed according to the process steps of the tower position ground inclination analysis method based on inverse distance weight described in Example 1, and will not be repeated in this embodiment.

[0120] At the same time, the present invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method for analyzing the ground inclination of the tower position based on the inverse distance weight described in Example 1 is implemented.

[0121] At the same time, the present invention also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the ground inclination analysis method of the tower position based on the inverse distance weight as described in Example 1.

[0122] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0123] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0124] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0125] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0126] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A tower position ground inclination analysis method based on inverse distance weight, characterized in that: The method includes: Acquire terrain data in a three-dimensional scene, extract slope data from the terrain data; acquire an original slope value sampling matrix based on the slope data; Calculate the distance from each sampling point of each tower in the transmission line to the corresponding tower point to obtain an inverse second-order distance matrix; perform inverse distance weight calculation based on the inverse second-order distance matrix to obtain an inverse distance weight matrix; transpose the inverse distance weight matrix to obtain a transposed matrix; Multiplying the original slope value sampling matrix with the transposed matrix to obtain a result matrix; obtaining the main diagonal elements of the result matrix to obtain the slope value of each tower; According to the slope value of each tower, calculate the ground inclination angle of each tower; According to the slope data, an original slope value sampling matrix is ​​obtained, including: According to the slope data, the sampling is performed at equal intervals on the left and right sides of the vertical direction of the transmission line of each base tower to obtain the original slope value sampling matrix R of each sampling point. (n,m) ; The original slope value sampling matrix R (n,m) is an n*m matrix, n=N, m=M, where N is the number of towers of a transmission line, and M is the number of sampling points on the left and right sides of the vertical line of the transmission line along each tower; The inverse distance weight matrix W (n,m) Each inverse distance weight value w ij The calculation formula is: Among them, d ij ∈D (n,m) , D (n,m) is the inverse second-order distance matrix; w ij ∈W (n,m) , where i∈[1,n], j∈[1,m], w ij is the inverse distance weight value from the jth sampling point of the i-th tower to the tower, and satisfies w ij ∈(0,1); The distance between each sampling point of each tower in the transmission line and the corresponding tower point is calculated using the distance calculation formula: dist ij =Δd×index j Among them, dist ij ∈Dist (n，m) , i∈[1,n], j∈[1,m], where dist ij is the distance from the jth sampling point of the i-th tower to the tower point, Δd is the sampling interval, which should satisfy Δd>0, index j Is the sampling point number, satisfying the condition index j ∈[1,m]; The calculation formula for the ground inclination angle of each tower is: V theta(i) =λV slope(i) ,i∈[1,n] Among them, V t h eta(i) is the ground inclination angle of the ith tower, V slope(i) is the terrain slope value calculated based on the inverse distance weight of the ith tower, V slope(i) The value of is the result matrix S (i , i) The main diagonal elements in , λ is the coefficient.

2. The method for analyzing ground inclination of a tower position based on inverse distance weight according to claim 1, characterized in that: The method further includes: The power grid transmission lines are parametrically modeled and the terrain data is superimposed for panoramic simulation to obtain a three-dimensional scene.

3. The method for analyzing ground inclination of a tower position based on inverse distance weight according to claim 1, characterized in that: The method of calculating the ground inclination angle of each pole tower according to the slope value of each pole tower comprises: According to the left slope value of each tower, the left ground inclination value of each tower is calculated; According to the right slope value of each pole tower, the right ground inclination value of each pole tower is calculated.

4. The tower position ground inclination analysis system based on inverse distance weight is characterized by: The system includes: An acquisition unit, used for acquiring terrain data in a three-dimensional scene; A slope data extraction unit, used to extract slope data from the terrain data; An original sampling matrix unit, used for obtaining an original slope value sampling matrix according to the slope data; Based on the inverse distance weight calculation unit, it is used to calculate the distance from each sampling point of each tower in the transmission line to the corresponding tower point to obtain an inverse second-order distance matrix; according to the inverse second-order distance matrix, inverse distance weight calculation is performed to obtain an inverse distance weight matrix; A transposition processing unit, used for performing a transposition process on the inverse distance weight matrix to obtain a transposed matrix; A tower slope calculation unit is used to multiply the original slope value sampling matrix with the transposed matrix to obtain a result matrix; obtain the main diagonal elements of the result matrix to obtain the slope value of each tower; A ground inclination angle calculation unit is used to calculate the ground inclination angle of each pole tower according to the slope value of each pole tower; According to the slope data, an original slope value sampling matrix is ​​obtained, including: According to the slope data, the sampling is performed at equal intervals on the left and right sides of the vertical direction of the transmission line of each base tower to obtain the original slope value sampling matrix R of each sampling point. (n,m) ; The original slope value sampling matrix R (n,m) is an n*m matrix, n=N, m=M, where N is the number of towers of a transmission line, and M is the number of sampling points on the left and right sides of the vertical line of the transmission line along each tower; The inverse distance weight matrix W (n,m) Each inverse distance weight value w ij The calculation formula is: Among them, d ij ∈D (n,m) , D (n,m) is the inverse second-order distance matrix; w ij ∈W (n,m) , where i∈[1,n], j∈[1,m], w ij is the inverse distance weight value from the jth sampling point of the i-th tower to the tower, and satisfies w ij ∈(0,1); The distance between each sampling point of each tower in the transmission line and the corresponding tower point is calculated using the distance calculation formula: dist ij =Δd×index j Among them, dist ij ∈Dist (n，m) , i∈[1,n], j∈[1,m], where dist ij is the distance from the jth sampling point of the i-th tower to the tower point, Δd is the sampling interval, which should satisfy Δd>0, index j Is the sampling point number, satisfying the condition index j ∈[1,m]; The calculation formula for the ground inclination angle of each tower is: V theta(i) =λV slope(i) ,i∈[1,n] Among them, V t h eta(i) is the ground inclination angle of the ith tower, V slope(i) is the terrain slope value calculated based on the inverse distance weight of the ith tower, V slope(i) The value of is the result matrix S (i , i) The main diagonal elements in , λ is the coefficient.

5. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method for analyzing ground inclination at a tower location based on inverse distance weighting as described in any one of claims 1 to 3 is implemented.

6. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method for analyzing ground inclination at a tower location based on inverse distance weighting as claimed in any one of claims 1 to 3 is implemented.

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